npm package discovery and stats viewer.
[free text search, go nuts!]
pkg:[package-name]
@[username]
I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.
Hi, 👋, I’m Ryan Hefner and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.
As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.
If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.
I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.
This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏
next / express / next-routes
redux / react-redux / next-redux-wrapper / redux-thunk / redux-logger
babel-plugin-module-resolver / babel-plugin-styled-components
© 2024 – Pkg Stats / Ryan Hefner
Binomial probability mass function
Downloads
13
Binomial probability mass function.
const pmf = require('binomial-pmf');
pmf(2, 3, 0.7);
// => 0.441$ npm install binomial-pmfconst pmf = require('binomial-pmf');pmf(k, n, p)Returns the probability of getting exactly Number k successes in Number
n trials given that the probability of a success is Number p.